Dual Focal Loss for Calibration

23 May 2023

Papers citing "Dual Focal Loss for Calibration"

22 / 22 papers shown

Title
Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know Shireen Kudukkil Manchingal Fabio Cuzzolin 42 0 0 08 May 2025
Beyond One-Hot Labels: Semantic Mixing for Model Calibration Haoyang Luo Linwei Tao Minjing Dong Chang Xu 20 0 0 18 Apr 2025
Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration Jiani Ni He Zhao Jintong Gao Dandan Guo H. Zha 24 0 0 14 Apr 2025
Uncertainty Weighted Gradients for Model Calibration Jinxu Lin Linwei Tao Minjing Dong Chang Xu UQCV 43 0 0 26 Mar 2025
Adaptive Wavelet Filters as Practical Texture Feature Amplifiers for Parkinson's Disease Screening in OCT X. Zhang Hanfeng Shi X. Li Haili Ye Tao Xu Na Li Yan Hu Fan Lv J. Chen Jiang Liu 42 0 0 25 Mar 2025
Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learning Yilong Wang J. Zhang Tianxiang Zhao Suhang Wang AAML 37 0 0 23 Mar 2025
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice Eric Heim Oren Wright David Shriver OOD FaML 63 0 0 01 Mar 2025
Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors Linwei Tao Haolan Guo Minjing Dong Chang Xu UQCV AAML 13 2 0 16 Oct 2024
Enhancing Financial Market Predictions: Causality-Driven Feature Selection Wenhao Liang Zhengyang Li Weitong Chen AIFin 33 0 0 02 Aug 2024
Robust Time Series Forecasting with Non-Heavy-Tailed Gaussian Loss-Weighted Sampler Jiang You A. Çela René Natowicz Jacob Ouanounou Patrick Siarry AI4TS 35 0 0 19 Jun 2024
Geometric Insights into Focal Loss: Reducing Curvature for Enhanced Model Calibration Masanari Kimura Hiroki Naganuma 21 0 0 01 May 2024
Optimizing Calibration by Gaining Aware of Prediction Correctness Yuchi Liu Lei Wang Yuli Zou James Zou Liang Zheng UQCV 37 1 0 19 Apr 2024
A Short Survey on Importance Weighting for Machine Learning Masanari Kimura H. Hino 34 5 0 15 Mar 2024
Selective Learning: Towards Robust Calibration with Dynamic Regularization Zongbo Han Yifeng Yang Changqing Zhang Linjun Zhang Joey Tianyi Zhou Qinghua Hu 23 4 0 13 Feb 2024
A Benchmark Study on Calibration Linwei Tao Younan Zhu Haolan Guo Minjing Dong Chang Xu 17 9 0 23 Aug 2023
Towards Effective Collaborative Learning in Long-Tailed Recognition Zhengzhuo Xu Zenghao Chai Chengying Xu Chun Yuan Haiqin Yang 8 4 0 05 May 2023
Towards Unbiased Calibration using Meta-Regularization Cheng Wang Jacek Golebiowski 13 1 0 27 Mar 2023
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation Wenbo Hu Xin Sun Qiang liu Wenbo Hu Shu Wu 31 0 0 23 Mar 2023
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration Yu Tang Pin-Yu Chen Tsung-Yi Ho 13 5 0 23 Sep 2022
Improving model calibration with accuracy versus uncertainty optimization R. Krishnan Omesh Tickoo UQCV 172 140 0 14 Dec 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 244 35,884 0 25 Aug 2016